Quantitative Research Graduate — Risk Modelling

KPK; Lisboa; Remote; EUR 38.000 - 68.000; Vollzeit

Benefits dieser Stelle

Remote work

Flexible hours

Learning & growth

Real capital impact

Zusammenfassung

KPK is seeking a Quantitative Research Graduate in Lisbon to join our onchain asset management team. You will build risk models, stress-test strategies, and simulation frameworks for vaults and portfolios using live protocols and real capital from day one.

You'll collaborate with Engineering, Risk, and Portfolio teams to analyse onchain data, calibrate model parameters, and inform capital allocation decisions in a fast-moving market.

Aufgaben

• Build simulation frameworks to stress test onchain strategies under adverse conditions such as depegs, oracle failures, liquidity crunches and cascading liquidations.
• Model concentration risk, counterparty exposure, and correlation dynamics across the portfolio
• Analyse historical onchain data to validate risk assumptions and calibrate model parameters
• Produce quantitative risk reports that inform vault construction and rebalancing decisions
• Model and backtest AMM multistrategy vaults: LP positioning, fee optimisation, impermanent loss dynamics, rebalancing triggers across concentrated and full-range liquidity
• Work with live protocols (Morpho, Gearbox, Aave, Uniswap, Balancer) and real capital, not academic datasets

Jobbeschreibung

Your Mission

As a Quantitative Research Graduate at KPK, you will play a key role in stress-testing and modelling the risk of our onchain portfolio. You'll build simulation frameworks and analyse historical onchain data that directly inform how we allocate and rebalance capital across vaults, funds, and institutional treasury mandates. This is a unique opportunity to work with live protocols and real capital from day one, applying quantitative rigour to a fast-moving, complex market.

Key Responsibilities

• Build simulation frameworks to stress test onchain strategies under adverse conditions: depegs, oracle failures, liquidity crunches, cascading liquidations
• Model concentration risk, counterparty exposure, and correlation dynamics across the portfolio
• Analyse historical onchain data to validate risk assumptions and calibrate model parameters
• Produce quantitative risk reports that inform vault construction and rebalancing decisions
• Model and backtest AMM multistrategy vaults: LP positioning, fee optimisation, impermanent loss dynamics, rebalancing triggers across concentrated and full-range liquidity
• Work with live protocols (Morpho, Gearbox, Aave, Uniswap, Balancer) and real capital, not academic datasets

Why Join Us?

At KPK we believe in combining serious, high-impact work with a culture that supports you. Here's what you can look forward to:

• Real Capital, Real Impact: You'll work with live protocols and real capital from day one, your models will feed directly into portfolio decisions, not sit in an academic exercise.
• Remote Work: Work from anywhere. We're a globally distributed team of ~30 people, and we want you to be comfortable wherever you are.
• Flexible Working Hours: We understand life happens. You can build a schedule that works best for you.
• Visible, Consequential Work: We're a small team, so your work is seen and matters. No busywork, no getting lost in a large organisation.
• Learning & Growth: Gain exposure to quantitative research on live onchain markets, working closely with our Engineering, Risk, and Portfolio teams.
• Supportive Culture: Join a team that celebrates diversity and encourages open communication. We believe in lifting each other up.

About us

KPK is an onchain asset management firm managing capital across three product lines: curated lending vaults (Morpho, Gearbox), investment funds (ETH Alpha Fund, USD Alpha Fund), and institutional treasury mandates. Our institutional clients include ENS, Arbitrum, and CoW DAO. We have managed onchain treasuries for years with zero capital losses.

The firm is ~30 people, globally distributed. Engineering, research, and portfolio management are built in-house.